Optimization of Machining Parameters in Milling Process of Inconel 718 under Surface Roughness Constraints

Optimization of Machining Parameters in Milling Process of Inconel 718 under Surface Roughness Constraints

The objective of this research is to investigate the feasibility of utilizing the Elman neural network to predict the surface roughness in the milling process of Inconel 718 and then optimizing the cutting parameters through the particle swarm optimization (PSO) algorithm according to the different...

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Bibliographic Details
Main Authors: Tian-Yau Wu, Chi-Chen Lin
Format: Article
Language:English
Published: MDPI AG 2021-02-01
Series:Applied Sciences
Subjects:
Inconel 718
slot milling
surface roughness prediction
Elman neural network
particle swarm optimization
cutting parameter optimization
Online Access:https://www.mdpi.com/2076-3417/11/5/2137

Internet

https://www.mdpi.com/2076-3417/11/5/2137

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